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borisbanushev / stockpredictionai

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

JavaScript★ 5.6k⑂ 1.9k创建于 2019-01-09最近提交 2025-08-19
中文介绍 · 自动生成

stockpredictionai 是用 JavaScript 编写的开源项目,主题标签有限,建议打开仓库查看具体用途。

目前累计 5.6k star、1.9k fork,主要语言为 JavaScript,项目始于 2019 年。最近状态:已有一段时间未更新。适合:正在做技术选型的开发者。

中文介绍优先采用本站人工维护条目;无维护条目时依据 GitHub 公开字段(语言、主题、星标、提交时间)自动生成,未经项目方确认,不构成选型结论。
一句话解读

borisbanushev/stockpredictionai 是一个以 JavaScript 为主的开源项目,目前累计 5.6k star、1.9k fork,一年以上有维护。项目未标注主题标签。

依据 GitHub 公开字段(语言、主题、星标、提交时间)自动生成,未经人工逐项核实。
无主题标签

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